Literaturnachweis - Detailanzeige
Autor/inn/en | Nieto Sanchez, Salvador; Triantaphyllou, Evangelos; Kraft, Donald |
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Titel | A Feature Mining Based Approach for the Classification of Text Documents into Disjoint Classes. |
Quelle | In: Information Processing & Management, 38 (2002) 4, S.583-604 |
Sprache | englisch |
Dokumenttyp | gedruckt; Zeitschriftenaufsatz |
ISSN | 0306-4573 |
Schlagwörter | Algorithms; Cluster Grouping; Comparative Analysis; Mathematical Logic; Validity |
Abstract | Proposes a new approach for classifying text documents into two disjoint classes. Highlights include a brief overview of document clustering; a data mining approach called the One Clause at a Time (OCAT) algorithm which is based on mathematical logic; vector space model (VSM); and comparing the OCAT to the VSM. (Author/LRW) |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |